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Gene diagnosis kit for identifying back-fat thickness of living pig

A technology for thick backfat and pig identification, applied in the field of genetic engineering, can solve problems such as the decline of pork quality and the simplification of flavor

Active Publication Date: 2017-09-12
INST OF ANIMAL SCI OF CHINESE ACAD OF AGRI SCI
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  • Abstract
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Problems solved by technology

[0003] In recent years, my country has increased the lean meat rate and growth rate by introducing high-lean meat rate pig breeds, but the decline in pork quality and the simplification of flavor have attracted the attention of consumers

Method used

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  • Gene diagnosis kit for identifying back-fat thickness of living pig
  • Gene diagnosis kit for identifying back-fat thickness of living pig
  • Gene diagnosis kit for identifying back-fat thickness of living pig

Examples

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Embodiment 1

[0079] Embodiment 1, a method for assisting in identifying the backfat thickness of live pigs with a body weight of 100 kg

[0080] 1. Screening of SNP sites of porcine MEG3 gene

[0081] 1. Extraction of DNA from pig ear tissue samples

[0082] The blood samples of 32 Landrace pigs from Hebei pig farms were collected respectively. After the samples were collected, they were stored in 75% alcohol and stored at -20°C. The genomic DNA of blood samples was extracted by phenol-chloroform extraction, and the specific steps were as follows:

[0083] (1) Preparation of ear tissue samples: Cut ear tissue samples of moderate size, wash away impurities and blood stains on the surface with normal saline, put them in a 1.5ml centrifuge tube, cut them into pieces with ophthalmic scissors, and add 500uL of tissue to it Lysis solution (Beijing Baitaike Biotechnology Co., Ltd.; product number: AU19011);

[0084] (2) According to the size of the cut ear tissue sample, add 15-25uL proteinase...

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Abstract

The present invention discloses a gene diagnosis kit for identifying the back-fat thickness of a living pig. The method for identifying the back-fat thickness of a living pig by using the gene diagnosis kit is the following method (1) or (2) or (3) or (4): (1) detecting whether the 460 site deoxyribonucleotide of the MEG3 gene of an individual pig is T or A or T and A; (2) detecting whether the 1137 site deoxyribonucleotide of the second exon of the MEG3 gene of an individual pig is A or G or A and G; (3) detecting whether the 1158 site deoxyribonucleotide of the second exon of the MEG3 gene of an individual pig is A or G or A and G; and (4) detecting whether the 51 site deoxyribonucleotide of the first intron of the MEG3 gene of an individual pig is T or C or T and C. According to the present invention, experimental results prove that the determination result of the method of the present invention is consistent with the actual determination result so as to provide important significance for the selection of excellent pig breeders.

Description

technical field [0001] The invention belongs to the field of genetic engineering, and in particular relates to a genetic diagnosis kit for identifying the backfat thickness of living pigs, in particular to a method for identifying or assisting in identifying the backfat thickness of live pigs weighing up to 100 kg based on the MEG3 gene. Background technique [0002] Pig is the first of the six livestock, and the pig industry occupies an important position in the world, especially in China's national economy. The proportion of pork in many meat products has been maintained at about one-third, and it is one of people's favorite non-staple foods. People's lives are constantly improving, and traditional breeding techniques can no longer meet people's demand for pork. With the development of modern breeding technology, the production performance of pigs has been significantly improved, and the healthy breeding and fattening of pigs is particularly important. [0003] In recent...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68
CPCC12Q1/6888C12Q2600/124C12Q2600/156
Inventor 唐中林孙浩李奎梁如意
Owner INST OF ANIMAL SCI OF CHINESE ACAD OF AGRI SCI
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